The impact of the metabolic score for insulin resistance on cardiovascular disease: a 10-year follow-up cohort study

Purpose To investigate whether the metabolic score for insulin resistance (METS-IR) is associated with an increased risk of cardiovascular disease (CVD). Methods A total of 6489 participants aged 35-70 years without a history of CVD were included in this prospective cohort study. The median follow-up time was 10.6 years. The METS-IR was calculated as ln [2 x FPG (mg/dL) + fasting TG (mg/dL)] x BMI (kg/m(2))/ln [HDL-C (mg/dL)]. The primary outcome was CVD, defined as the composite of coronary heart disease (CHD) and stroke. Results During follow-up, 396 individuals developed CVD. Kaplan-Meier survival curves by quintiles of METS-IR showed statistically significant differences (log-rank test, P < 0.001). Multivariate Cox regression analysis showed that the hazard ratio [95% confidence interval (95% CI)] of CVD was 1.80 (1.24-2.61) in quintile 5 and 1.17 (1.05-1.31) for per standard deviation (SD) increase in METS-IR. In subgroup analysis, the significant association between METS-IR and CVD was mainly observed among females and subjects without diabetes mellitus. A significant interaction was found between gender and METS-IR (P-interaction = 0.001). Moreover, adding METS-IR to models with traditional risk factors yielded a significant improvement in discrimination and reclassification of incident CVD. Conclusion The elevated METS-IR was independently associated with incident CVD, suggesting that the METS-IR might be a valuable indicator for risk stratification and early intervention of CVD.

Automated summary

This study found that the metabolic score for insulin resistance (METS-IR) is associated with an increased risk of cardiovascular disease (CVD). Elevated METS-IR is independently associated with incident CVD, especially in females and individuals without diabetes mellitus. Adding METS-IR to traditional risk factor models improves the identification and reclassification of CVD.